At a Glance
- Tasks: Design and build modern data solutions while leading client outcomes.
- Company: Join Altis Consulting, an innovative Australian-owned tech company.
- Benefits: Enjoy flexible work, health support, and ongoing career development.
- Other info: Collaborative culture that values diverse perspectives and continuous learning.
- Why this job: Make a real impact in data engineering and grow your skills.
- Qualifications: Experience in data engineering and strong client-facing skills required.
The predicted salary is between 121500 - 148500 $ per year.
Build modern data solutions. Lead client outcomes. Help grow our capability.
At Altis Consulting, we're looking for a hands-on Data Engineer who enjoys being close to both the technology and the client.
This is a role for someone who can take a business problem, shape the right technical approach, and lead it through to a practical outcome.
You'll work across modern data platforms and engineering solutions while building trusted relationships with clients and helping develop the consultants around you.
What you'll do
- Design scalable data platforms, pipelines, integration and analytics solutions.
- Work across modern cloud technologies including Databricks, Snowflake and the Microsoft/Azure ecosystem.
- Translate complex business requirements into clear technical solutions.
- Guide and mentor consultants and contribute to a strong engineering culture.
- Build trusted relationships with technical and business stakeholders.
- Identify opportunities to create additional value for clients and contribute to proposals and solution shaping.
- What you'll bring
You'll have strong experience across data engineering, architecture or analytics consulting and be comfortable operating directly with clients.
We're particularly interested in experience across
- Modern data engineering and data modelling
- Cloud data platforms - Databricks, Snowflake, Azure or comparable technologies
- Databricks experience essential
- SQL and modern data integration/ELT patterns
- Data quality, governance and sustainable engineering practices
- Leading projects or small technical teams
- Consulting, advisory or client-facing delivery
You don't need to have worked with every technology we use. We're more interested in strong foundations, sound technical judgement and an ability to learn.
The person we're looking for
You enjoy solving ambiguous problems, can challenge thinking respectfully and know when a technically impressive solution isn't necessarily the right business solution.
You'll be comfortable talking architecture with engineers one minute and explaining the value of the solution to an executive stakeholder the next.
Why Altis?
For more than 25 years, Altis has focused on one thing: helping organisations create better outcomes through data.
We're Australian-owned and technology-agnostic, which means our consultants can focus on solving the right problem rather than selling a particular platform.
- At Altis you'll have the opportunity to
- Work across varied and challenging Data & AI engagements
- Learn from experienced specialists across consulting, engineering, analytics and AI
- Build your capability through ongoing learning and career development
- Work in a collaborative environment where you're encouraged to challenge ideas and contribute your own
- Work flexibly through our hybrid model
- Access health and wellbeing support for you and your family
- Access paid parental leave and our reward and recognition program
Our values Be Curious, Own It, Lead with Heart and Discover a Way shape how we work with our clients and with each other.
Your next move doesn't need to tick every box
Different experiences and perspectives make our teams stronger.
If you need adjustments or support at any stage of our recruitment process, let our Talent Acquisition team know and we'll work with you.
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Managing Consultant – Data Engineer – Sydney employer: Altis
Altis Consulting is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Sydney. With a strong focus on employee growth, you will have ample opportunities to mentor others and lead impactful projects while working closely with clients to deliver meaningful data solutions. The hybrid work model allows for flexibility, ensuring a healthy work-life balance as you contribute to transformative outcomes in the data engineering space.
